DSEng 105 – Machine Learning Foundations

(Weeks 9–10 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:

Use scikit-learn pipelines for ML workflows
Prerequisite: DSEng 104 – Data Visualization & Storytelling
Tools: Scikit-learn, Pandas, Matplotlib

Build supervised learning models (regression, classification)

Implement model evaluation metrics (precision, recall, F1-score)

Perform feature engineering and model selection